jmcastelo17
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End of training
Browse files- README.md +34 -7
- generation_config.json +1 -1
README.md
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---
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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model-index:
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- name:
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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---
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language:
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- en
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- jmcastelo17/FIFA_commentary
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metrics:
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- wer
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model-index:
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- name: Whisper Small FIFA_commentary
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: FIFA_commentary
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type: jmcastelo17/FIFA_commentary
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metrics:
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- name: Wer
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type: wer
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value: 24.281150159744406
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Small FIFA_commentary
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FIFA_commentary dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3163
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- Wer: 24.2812
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 5.3488 | 1.0 | 12 | 4.7962 | 46.0064 |
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| 4.6557 | 2.0 | 24 | 3.5938 | 38.9776 |
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| 3.5187 | 3.0 | 36 | 2.0149 | 30.6709 |
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| 2.2038 | 4.0 | 48 | 1.4935 | 30.0319 |
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| 1.0546 | 5.0 | 60 | 1.3163 | 24.2812 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.39.3"
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}
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